# How to integrate Btcpay server MCP with LlamaIndex

```json
{
  "title": "How to integrate Btcpay server MCP with LlamaIndex",
  "toolkit": "Btcpay server",
  "toolkit_slug": "btcpay_server",
  "framework": "LlamaIndex",
  "framework_slug": "llama-index",
  "url": "https://composio.dev/toolkits/btcpay_server/framework/llama-index",
  "markdown_url": "https://composio.dev/toolkits/btcpay_server/framework/llama-index.md",
  "updated_at": "2026-05-12T10:04:21.597Z"
}
```

## Introduction

This guide walks you through connecting Btcpay server to LlamaIndex using the Composio tool router. By the end, you'll have a working Btcpay server agent that can create a new bitcoin payment request for your store, list all payment requests for store abc123, register a webhook for payment notifications through natural language commands.
This guide will help you understand how to give your LlamaIndex agent real control over a Btcpay server account through Composio's Btcpay server MCP server.
Before we dive in, let's take a quick look at the key ideas and tools involved.

## Also integrate Btcpay server with

- [OpenAI Agents SDK](https://composio.dev/toolkits/btcpay_server/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/btcpay_server/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/btcpay_server/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/btcpay_server/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/btcpay_server/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/btcpay_server/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/btcpay_server/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/btcpay_server/framework/cli)
- [Google ADK](https://composio.dev/toolkits/btcpay_server/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/btcpay_server/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/btcpay_server/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/btcpay_server/framework/mastra-ai)
- [CrewAI](https://composio.dev/toolkits/btcpay_server/framework/crew-ai)

## TL;DR

Here's what you'll learn:
- Set your OpenAI and Composio API keys
- Install LlamaIndex and Composio packages
- Create a Composio Tool Router session for Btcpay server
- Connect LlamaIndex to the Btcpay server MCP server
- Build a Btcpay server-powered agent using LlamaIndex
- Interact with Btcpay server through natural language

## What is LlamaIndex?

LlamaIndex is a data framework for building LLM applications. It provides tools for connecting LLMs to external data sources and services through agents and tools.
Key features include:
- ReAct Agent: Reasoning and acting pattern for tool-using agents
- MCP Tools: Native support for Model Context Protocol
- Context Management: Maintain conversation context across interactions
- Async Support: Built for async/await patterns

## What is the Btcpay server MCP server, and what's possible with it?

The Btcpay server MCP server is an implementation of the Model Context Protocol that connects your AI agent and assistants like Claude, Cursor, etc directly to your Btcpay server account. It provides structured and secure access to your Bitcoin payment infrastructure, so your agent can perform actions like creating payment requests, managing stores, handling API keys, and automating webhooks on your behalf.
- Automated payment request creation: Instruct your agent to generate new payment requests for your stores, making it simple to accept Bitcoin payments from customers without manual setup.
- Store management and provisioning: Let your agent create, configure, or remove stores in your Btcpay server environment to support multiple business units or projects.
- API key administration: Ask your agent to list, retrieve, or revoke API keys, streamlining secure access control for developers and integrations.
- Webhook registration for event automation: Enable your agent to register webhooks, so you can receive instant notifications or trigger workflows when key payment or store events occur.
- User and payout management: Have the agent create new server users programmatically or delete store payouts that are no longer needed, giving you granular control over your payment operations.

## Supported Tools

| Tool slug | Name | Description |
|---|---|---|
| `BTCPAY_SERVER_CREATE_PAYMENT_REQUEST` | Create Payment Request | Creates a new payment request in a BTCPay Server store. Payment requests are shareable pages where customers can create invoices to pay the requested amount. Unlike direct invoices, payment requests can be reused and allow customers to initiate payments themselves. Use this after obtaining a valid store ID from the create_store or get_store actions. |
| `BTCPAY_SERVER_CREATE_STORE` | Create Store | Tool to create a new store in BTCPay Server. Use when you need to provision a new store before processing transactions. |
| `BTCPAY_SERVER_CREATE_USER` | Create BTCPay Server User | Tool to create a new BTCPay Server user. Use when you need to register a new user programmatically as an administrator. |
| `BTCPAY_SERVER_CREATE_WEBHOOK` | Register a Webhook | Registers a new webhook for a BTCPay store to receive real-time notifications when store events occur (e.g., invoice created, payment received, invoice settled). The webhook endpoint receives POST requests with event payloads signed using an HMAC secret for verification. |
| `BTCPAY_SERVER_DELETE_API_KEY` | Delete API Key | Revoke a specific API key to immediately prevent its use for authentication. Use this tool when you need to disable an API key, such as when rotating credentials or when a key may have been compromised. The revocation takes effect immediately. Note: This action requires authentication with an API key that has user management permissions. |
| `BTCPAY_SERVER_DELETE_PAYMENT_REQUEST` | Delete Payment Request | Deletes (archives) a specific payment request from a BTCPay Server store. Use this tool when you need to remove or archive an existing payment request. The payment request will be marked as archived and will no longer be active. This operation requires the 'btcpay.store.canmodifypaymentrequests' API permission. Note: This is a destructive operation - once deleted, the payment request cannot be restored. |
| `BTCPAY_SERVER_DELETE_PAYOUT` | Cancel Store Payout | Cancels (deletes) a specific payout from a BTCPay Server store. Use this tool when you need to cancel a pending payout that is no longer needed. Only payouts in 'AwaitingApproval' or 'AwaitingPayment' state can be canceled. Payouts that have already been processed or completed cannot be canceled. Requires the 'btcpay.store.canmanagepayouts' permission on the API key. |
| `BTCPAY_SERVER_GET_API_KEYS` | Get Current API Key | Retrieve information about the current API key. Returns details including the API key string, its label, and the permissions it has been granted. Use this to verify authentication is working and to check what permissions the current API key has. Note: BTCPay Server only provides access to the current API key, not all API keys associated with the user account. This tool is read-only; it cannot create, modify, or delete API keys. |
| `BTCPAY_SERVER_GET_PAYMENT_REQUESTS` | Get Payment Requests | Tool to list all payment requests for a specific store. Use after confirming you have the store ID. |
| `BTCPAY_SERVER_GET_SERVER_INFO` | Get BTCPay Server Info | Tool to retrieve information about the BTCPay Server instance. Use when needing server version, tor address, supported payment methods, and synchronization states. |
| `BTCPAY_SERVER_GET_STORE` | Get Store | Retrieves complete configuration and settings for a specific BTCPay Server store by its ID. Use this tool when you need to: - Get current store settings and configuration - Check store properties like payment methods, currency, invoice expiration, etc. - Verify store exists and is accessible - Retrieve branding/display settings (logo, colors, checkout page settings) Returns comprehensive store data including payment settings, checkout configuration, and branding. Results are scoped to the authenticated user's permissions; insufficient permissions may return restricted or empty data rather than an explicit error. |
| `BTCPAY_SERVER_GET_USER` | Get BTCPay Server User | Retrieve information about a BTCPay Server user by ID or email. Use 'me' as the id_or_email parameter to get the currently authenticated user's profile. Alternatively, provide a specific user ID (UUID) or email address to retrieve another user's information. Requires API key with 'btcpay.user.canviewprofile' permission scope. Note: Viewing other users' profiles requires server administrator privileges. |
| `BTCPAY_SERVER_GET_WEBHOOK` | Get Store Webhook | Retrieves detailed configuration of a specific webhook registered for a BTCPay store, including its callback URL, subscribed events, enabled status, and automatic redelivery settings. |
| `BTCPAY_SERVER_GET_WEBHOOKS` | List Store Webhooks | Lists all webhooks registered for a BTCPay Server store. Use this to retrieve webhook configurations for management, auditing, or to find webhook IDs for update/delete operations. |
| `BTCPAY_SERVER_LIST_APPS` | List Apps | Retrieve all apps (Point of Sale, Crowdfund, etc.) associated with a specific BTCPay Server store. Returns basic metadata for each app including its ID, name, type, creation timestamp, and archived status. Use this tool when you need to enumerate or discover apps configured within a store. |
| `BTCPAY_SERVER_UPDATE_USER` | Update BTCPay Server User | Update the profile of the currently authenticated BTCPay Server user. Use this tool to modify user profile settings like display name, email, profile picture, or password. All fields are optional - only provide fields you want to change. Requires API key with 'btcpay.user.canmodifyprofile' permission scope. Note: Password changes require both currentPassword and newPassword to be provided. Email changes may require re-verification depending on server configuration. |

## Supported Triggers

None listed.

## Creating MCP Server - Stand-alone vs Composio SDK

The Btcpay server MCP server is an implementation of the Model Context Protocol that connects your AI agent to Btcpay server. It provides structured and secure access so your agent can perform Btcpay server operations on your behalf through a secure, permission-based interface.
With Composio's managed implementation, you don't have to create your own developer app. For production, if you're building an end product, we recommend using your own credentials. The managed server helps you prototype fast and go from 0-1 faster.

## Step-by-step Guide

### 1. Prerequisites

Before you begin, make sure you have:
- Python 3.8/Node 16 or higher installed
- A Composio account with the API key
- An OpenAI API key
- A Btcpay server account and project
- Basic familiarity with async Python/Typescript

### 1. Getting API Keys for OpenAI, Composio, and Btcpay server

No description provided.

### 2. Installing dependencies

No description provided.
```python
pip install composio-llamaindex llama-index llama-index-llms-openai llama-index-tools-mcp python-dotenv
```

```typescript
npm install @composio/llamaindex @llamaindex/openai @llamaindex/tools @llamaindex/workflow dotenv
```

### 3. Set environment variables

Create a .env file in your project root:
These credentials will be used to:
- Authenticate with OpenAI's GPT-5 model
- Connect to Composio's Tool Router
- Identify your Composio user session for Btcpay server access
```bash
OPENAI_API_KEY=your-openai-api-key
COMPOSIO_API_KEY=your-composio-api-key
COMPOSIO_USER_ID=your-user-id
```

### 4. Import modules

No description provided.
```python
import asyncio
import os
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();
```

### 5. Load environment variables and initialize Composio

No description provided.
```python
OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set in the environment")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set in the environment")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set in the environment")
```

```typescript
const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) throw new Error("OPENAI_API_KEY is not set");
if (!COMPOSIO_API_KEY) throw new Error("COMPOSIO_API_KEY is not set");
if (!COMPOSIO_USER_ID) throw new Error("COMPOSIO_USER_ID is not set");
```

### 6. Create a Tool Router session and build the agent function

What's happening here:
- We create a Composio client using your API key and configure it with the LlamaIndex provider
- We then create a tool router MCP session for your user, specifying the toolkits we want to use (in this case, btcpay server)
- The session returns an MCP HTTP endpoint URL that acts as a gateway to all your configured tools
- LlamaIndex will connect to this endpoint to dynamically discover and use the available Btcpay server tools.
- The MCP tools are mapped to LlamaIndex-compatible tools and plug them into the Agent.
```python
async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["btcpay_server"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")

    description = "An agent that uses Composio Tool Router MCP tools to perform Btcpay server actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Btcpay server actions.
    """
    return ReActAgent(tools=tools, llm=llm, description=description, system_prompt=system_prompt, verbose=True)
```

```typescript
async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["btcpay_server"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
        description : "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Btcpay server actions." ,
    llm,
    tools,
  });

  return agent;
}
```

### 7. Create an interactive chat loop

No description provided.
```python
async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")
```

```typescript
async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}
```

### 8. Define the main entry point

What's happening here:
- We're orchestrating the entire application flow
- The agent gets built with proper error handling
- Then we kick off the interactive chat loop so you can start talking to Btcpay server
```python
async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err) {
    console.error("Failed to start agent:", err);
    process.exit(1);
  }
}

main();
```

### 9. Run the agent

When prompted, authenticate and authorise your agent with Btcpay server, then start asking questions.
```bash
python llamaindex_agent.py
```

```typescript
npx ts-node llamaindex-agent.ts
```

## Complete Code

```python
import asyncio
import os
import signal
import dotenv

from composio import Composio
from composio_llamaindex import LlamaIndexProvider
from llama_index.core.agent.workflow import ReActAgent
from llama_index.core.workflow import Context
from llama_index.llms.openai import OpenAI
from llama_index.tools.mcp import BasicMCPClient, McpToolSpec

dotenv.load_dotenv()

OPENAI_API_KEY = os.getenv("OPENAI_API_KEY")
COMPOSIO_API_KEY = os.getenv("COMPOSIO_API_KEY")
COMPOSIO_USER_ID = os.getenv("COMPOSIO_USER_ID")

if not OPENAI_API_KEY:
    raise ValueError("OPENAI_API_KEY is not set")
if not COMPOSIO_API_KEY:
    raise ValueError("COMPOSIO_API_KEY is not set")
if not COMPOSIO_USER_ID:
    raise ValueError("COMPOSIO_USER_ID is not set")

async def build_agent() -> ReActAgent:
    composio_client = Composio(
        api_key=COMPOSIO_API_KEY,
        provider=LlamaIndexProvider(),
    )

    session = composio_client.create(
        user_id=COMPOSIO_USER_ID,
        toolkits=["btcpay_server"],
    )

    mcp_url = session.mcp.url
    print(f"Composio MCP URL: {mcp_url}")

    mcp_client = BasicMCPClient(mcp_url, headers={"x-api-key": COMPOSIO_API_KEY})
    mcp_tool_spec = McpToolSpec(client=mcp_client)
    tools = await mcp_tool_spec.to_tool_list_async()

    llm = OpenAI(model="gpt-5")
    description = "An agent that uses Composio Tool Router MCP tools to perform Btcpay server actions."
    system_prompt = """
    You are a helpful assistant connected to Composio Tool Router.
    Use the available tools to answer user queries and perform Btcpay server actions.
    """
    return ReActAgent(
        tools=tools,
        llm=llm,
        description=description,
        system_prompt=system_prompt,
        verbose=True,
    );

async def chat_loop(agent: ReActAgent) -> None:
    ctx = Context(agent)
    print("Type 'quit', 'exit', or Ctrl+C to stop.")

    while True:
        try:
            user_input = input("\nYou: ").strip()
        except (KeyboardInterrupt, EOFError):
            print("\nBye!")
            break

        if not user_input or user_input.lower() in {"quit", "exit"}:
            print("Bye!")
            break

        try:
            print("Agent: ", end="", flush=True)
            handler = agent.run(user_input, ctx=ctx)

            async for event in handler.stream_events():
                # Stream token-by-token from LLM responses
                if hasattr(event, "delta") and event.delta:
                    print(event.delta, end="", flush=True)
                # Show tool calls as they happen
                elif hasattr(event, "tool_name"):
                    print(f"\n[Using tool: {event.tool_name}]", flush=True)

            # Get final response
            response = await handler
            print()  # Newline after streaming
        except KeyboardInterrupt:
            print("\n[Interrupted]")
            continue
        except Exception as e:
            print(f"\nError: {e}")

async def main() -> None:
    agent = await build_agent()
    await chat_loop(agent)

if __name__ == "__main__":
    # Handle Ctrl+C gracefully
    signal.signal(signal.SIGINT, lambda s, f: (print("\nBye!"), exit(0)))
    try:
        asyncio.run(main())
    except KeyboardInterrupt:
        print("\nBye!")
```

```typescript
import "dotenv/config";
import readline from "node:readline/promises";
import { stdin as input, stdout as output } from "node:process";

import { Composio } from "@composio/core";
import { LlamaindexProvider } from "@composio/llamaindex";

import { mcp } from "@llamaindex/tools";
import { agent as createAgent } from "@llamaindex/workflow";
import { openai } from "@llamaindex/openai";

dotenv.config();

const OPENAI_API_KEY = process.env.OPENAI_API_KEY;
const COMPOSIO_API_KEY = process.env.COMPOSIO_API_KEY;
const COMPOSIO_USER_ID = process.env.COMPOSIO_USER_ID;

if (!OPENAI_API_KEY) {
    throw new Error("OPENAI_API_KEY is not set in the environment");
  }
if (!COMPOSIO_API_KEY) {
    throw new Error("COMPOSIO_API_KEY is not set in the environment");
  }
if (!COMPOSIO_USER_ID) {
    throw new Error("COMPOSIO_USER_ID is not set in the environment");
  }

async function buildAgent() {

  console.log(`Initializing Composio client...${COMPOSIO_USER_ID!}...`);
  console.log(`COMPOSIO_USER_ID: ${COMPOSIO_USER_ID!}...`);

  const composio = new Composio({
    apiKey: COMPOSIO_API_KEY,
    provider: new LlamaindexProvider(),
  });

  const session = await composio.create(
    COMPOSIO_USER_ID!,
    {
      toolkits: ["btcpay_server"],
    },
  );

  const mcpUrl = session.mcp.url;
  console.log(`Composio Tool Router MCP URL: ${mcpUrl}`);

  const server = mcp({
    url: mcpUrl,
    clientName: "composio_tool_router_with_llamaindex",
    requestInit: {
      headers: {
        "x-api-key": COMPOSIO_API_KEY!,
      },
    },
    // verbose: true,
  });

  const tools = await server.tools();

  const llm = openai({ apiKey: OPENAI_API_KEY, model: "gpt-5" });

  const agent = createAgent({
    name: "composio_tool_router_with_llamaindex",
    description:
      "An agent that uses Composio Tool Router MCP tools to perform actions.",
    systemPrompt:
      "You are a helpful assistant connected to Composio Tool Router."+
"Use the available tools to answer user queries and perform Btcpay server actions." ,
    llm,
    tools,
  });

  return agent;
}

async function chatLoop(agent: ReturnType<typeof createAgent>) {
  const rl = readline.createInterface({ input, output });

  console.log("Type 'quit' or 'exit' to stop.");

  while (true) {
    let userInput: string;

    try {
      userInput = (await rl.question("\nYou: ")).trim();
    } catch {
      console.log("\nAgent: Bye!");
      break;
    }

    if (!userInput) {
      continue;
    }

    const lower = userInput.toLowerCase();
    if (lower === "quit" || lower === "exit") {
      console.log("Agent: Bye!");
      break;
    }

    try {
      process.stdout.write("Agent: ");

      const stream = agent.runStream(userInput);
      let finalResult: any = null;

      for await (const event of stream) {
        // The event.data contains the streamed content
        const data: any = event.data;

        // Check for streaming delta content
        if (data?.delta) {
          process.stdout.write(data.delta);
        }

        // Store final result for fallback
        if (data?.result || data?.message) {
          finalResult = data;
        }
      }

      // If no streaming happened, show the final result
      if (finalResult) {
        const answer =
          finalResult.result ??
          finalResult.message?.content ??
          finalResult.message ??
          "";
        if (answer && typeof answer === "string" && !answer.includes("[object")) {
          process.stdout.write(answer);
        }
      }

      console.log(); // New line after streaming completes
    } catch (err: any) {
      console.error("\nAgent error:", err?.message ?? err);
    }
  }

  rl.close();
}

async function main() {
  try {
    const agent = await buildAgent();
    await chatLoop(agent);
  } catch (err: any) {
    console.error("Failed to start agent:", err?.message ?? err);
    process.exit(1);
  }
}

main();
```

## Conclusion

You've successfully connected Btcpay server to LlamaIndex through Composio's Tool Router MCP layer.
Key takeaways:
- Tool Router dynamically exposes Btcpay server tools through an MCP endpoint
- LlamaIndex's ReActAgent handles reasoning and orchestration; Composio handles integrations
- The agent becomes more capable without increasing prompt size
- Async Python provides clean, efficient execution of agent workflows
You can easily extend this to other toolkits like Gmail, Notion, Stripe, GitHub, and more by adding them to the toolkits parameter.

## How to build Btcpay server MCP Agent with another framework

- [OpenAI Agents SDK](https://composio.dev/toolkits/btcpay_server/framework/open-ai-agents-sdk)
- [Claude Agent SDK](https://composio.dev/toolkits/btcpay_server/framework/claude-agents-sdk)
- [Claude Code](https://composio.dev/toolkits/btcpay_server/framework/claude-code)
- [Claude Cowork](https://composio.dev/toolkits/btcpay_server/framework/claude-cowork)
- [Codex](https://composio.dev/toolkits/btcpay_server/framework/codex)
- [OpenClaw](https://composio.dev/toolkits/btcpay_server/framework/openclaw)
- [Hermes](https://composio.dev/toolkits/btcpay_server/framework/hermes-agent)
- [CLI](https://composio.dev/toolkits/btcpay_server/framework/cli)
- [Google ADK](https://composio.dev/toolkits/btcpay_server/framework/google-adk)
- [LangChain](https://composio.dev/toolkits/btcpay_server/framework/langchain)
- [Vercel AI SDK](https://composio.dev/toolkits/btcpay_server/framework/ai-sdk)
- [Mastra AI](https://composio.dev/toolkits/btcpay_server/framework/mastra-ai)
- [CrewAI](https://composio.dev/toolkits/btcpay_server/framework/crew-ai)

## Related Toolkits

- [Addresszen](https://composio.dev/toolkits/addresszen) - Addresszen is a real-time address autocomplete and verification service. It helps capture accurate, deliverable addresses with instant suggestions and validation.
- [Asin data api](https://composio.dev/toolkits/asin_data_api) - Asin data api gives you detailed, real-time product data from Amazon, including price, rank, and reviews. Perfect for e-commerce pros and data-driven marketers who need instant marketplace insights.
- [Baselinker](https://composio.dev/toolkits/baselinker) - BaseLinker is an all-in-one e-commerce management platform connecting stores, marketplaces, carriers, and more. It streamlines order processing, inventory control, and automates your sales operations.
- [Bestbuy](https://composio.dev/toolkits/bestbuy) - Best Buy is a leading retailer offering APIs for product, store, and recommendation data. Instantly access up-to-date retail insights for smarter shopping and decision-making.
- [Cdr platform](https://composio.dev/toolkits/cdr_platform) - Cdr platform is an API for purchasing carbon dioxide removal services. It enables businesses to offset emissions by accessing verified carbon removal projects.
- [Cloudcart](https://composio.dev/toolkits/cloudcart) - CloudCart is an e-commerce platform for building and managing online stores. It helps businesses streamline product listings, orders, and customer engagement.
- [Countdown api](https://composio.dev/toolkits/countdown_api) - Countdown API gives you real-time, structured eBay product data, reviews, and seller feedback. Perfect for powering price monitoring, product research, or marketplace analytics workflows.
- [Dpd2](https://composio.dev/toolkits/dpd2) - Dpd2 is a robust email management platform for handling, sorting, and automating email workflows. Streamline your communications and boost productivity with advanced sorting, labeling, and response tools.
- [Finerworks](https://composio.dev/toolkits/finerworks) - FinerWorks is an online platform for fine art and photo printing services. Artists and photographers use it to order custom prints and manage print inventory efficiently.
- [Fingertip](https://composio.dev/toolkits/fingertip) - Fingertip is a business management platform for selling, booking, and customer engagement—all from a single link. It helps businesses streamline operations and connect with customers across social channels.
- [Fraudlabs pro](https://composio.dev/toolkits/fraudlabs_pro) - FraudLabs Pro is an online payment fraud detection service for e-commerce and merchants. It helps minimize chargebacks and revenue loss by detecting and preventing fraudulent transactions.
- [Gift up](https://composio.dev/toolkits/gift_up) - Gift Up! is a digital platform for selling, managing, and redeeming gift cards online. It streamlines promotions and gift card transactions for businesses and their customers.
- [Goody](https://composio.dev/toolkits/goody) - Goody is a gifting platform that lets users send gifts and physical products without handling logistics. It streamlines gifting by managing delivery, fulfillment, and recipient experience.
- [Gumroad](https://composio.dev/toolkits/gumroad) - Gumroad is a platform for selling digital products, physical goods, and memberships with a simple checkout and marketing tools. It streamlines creator payouts and helps you grow your audience effortlessly.
- [Instacart](https://composio.dev/toolkits/instacart) - Instacart is an online grocery delivery and pickup service platform. It lets you discover local retailers and create shoppable lists and recipes with ease.
- [Junglescout](https://composio.dev/toolkits/junglescout) - Junglescout is an Amazon product research and analytics platform for sellers. It delivers sales estimates, competitive insights, and optimization tools to boost your Amazon business.
- [Ko fi](https://composio.dev/toolkits/ko_fi) - Ko-fi is a platform that lets creators receive donations, memberships, and sales from fans. It helps creators monetize their work and grow their audience with minimal friction.
- [Lemon squeezy](https://composio.dev/toolkits/lemon_squeezy) - Lemon Squeezy is a payments and subscription platform built for software companies. It makes managing payments, taxes, and customer subscriptions effortless.
- [Loyverse](https://composio.dev/toolkits/loyverse) - Loyverse is a point-of-sale (POS) platform for small businesses, offering tools for sales, inventory, and customer loyalty. It helps streamline retail operations and boost customer engagement.
- [Memberstack](https://composio.dev/toolkits/memberstack) - Memberstack lets you add user authentication, payments, and member management to your website—no backend code required. Easily manage your site's members and subscriptions from a single platform.

## Frequently Asked Questions

### What are the differences in Tool Router MCP and Btcpay server MCP?

With a standalone Btcpay server MCP server, the agents and LLMs can only access a fixed set of Btcpay server tools tied to that server. However, with the Composio Tool Router, agents can dynamically load tools from Btcpay server and many other apps based on the task at hand, all through a single MCP endpoint.

### Can I use Tool Router MCP with LlamaIndex?

Yes, you can. LlamaIndex fully supports MCP integration. You get structured tool calling, message history handling, and model orchestration while Tool Router takes care of discovering and serving the right Btcpay server tools.

### Can I manage the permissions and scopes for Btcpay server while using Tool Router?

Yes, absolutely. You can configure which Btcpay server scopes and actions are allowed when connecting your account to Composio. You can also bring your own OAuth credentials or API configuration so you keep full control over what the agent can do.

### How safe is my data with Composio Tool Router?

All sensitive data such as tokens, keys, and configuration is fully encrypted at rest and in transit. Composio is SOC 2 Type 2 compliant and follows strict security practices so your Btcpay server data and credentials are handled as safely as possible.

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